Abnormal Signal Detection based on Time Series Clustering
Author:
Affiliation:
1. LMIB, School of Mathematics and Systems Science, Beihang University, Beijing, China
2. College of Software, Beihang University, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
ACM Press
Reference15 articles.
1. Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. Deep learning. Nature, 521(7553):436--444, 2015.
2. Yanping Chen, Eamonn Keogh, Bing Hu, Nurjahan Begum, Anthony Bagnall, Abdullah Mueen, and Gustavo Batista. The ucr time series classification archive, July 2015. www.cs.ucr.edu/eamonn/time_series_data/
3. Hongyi Li, Xinhang Li, Di Zhao. PSO-BP Neural Network Grade Prediction Model Based on Bagging Ensemble Learning. Journal of Physics: Conference Series, Volume 1069, 2018.
4. Junyuan Xie, Ross Girshick, and Ali Farhadi. Unsupervised deep embedding for clustering analysis. In International Conference on Machine Learning, pp. 478--487, 2016.
5. John Paparrizos and Luis Gravano. k-shape: Efficient and accurate clustering of time series. In Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 1855--1870. ACM, 2015.
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